The Culture of Analytics

Does your company have a shared understanding of Business Intelligence, Machine Learning, and AI? Or an objective baseline of your current capabilities? Do you know where you need to be with advanced analytics?

The Analytics Gameplan from TreeHive is globally available as a uniquely focussed, practical and accessible approach to analytics strategy, developed in three phases:

Phase 1. Engage and Educate

We work in collaboration with your team, to establish a baseline of the capabilities, technologies and analytic styles distributed across your diverse projects, people and business units.

Through interactive workshops, we also provide a useful map of the technology landscape as it maps to your needs and a practical set of patterns and practices to support your design and development efforts.

Phase 2. Research and Review

With careful, perceptive interviews and studies we analyze strengths, gaps and misperceptions in your current analytics culture and strategy. We also apply technical research and innovative thinking to establish where you can effectively augment both skills and technical assets.

And we understand the importance of saying no: identifying technologies and techniques which, however trendy, may be unnecessary distractions.

Phase 3. The Gameplan

We'll deliver an Analytics Gameplan: a pragmatic, prioritized plan for innovation and development.

We also help to establish this plan in your organization, mentoring your analytics leaders as they build a strong culture of analytics.

At TreeHive Strategy we take a radically different approach to consulting

How different? It starts with Donald Farmer, Principal of TreeHive Strategy. Donald is globally recognized as a visionary product Leader, sought after speaker, patent holder and author. He has worked on the design and development of tools behind much of the best analytics today, with over 25 years of experience in startups, at Microsoft and at Qlik Technologies. As a result, his Analytics Gameplan approach is based on a deep understanding of technology, along with insightful models of user behavior and the organizational dynamics of data-driven companies.